Security programs are built around moments of closure: the finding is closed, the control passed, and the release can move forward.  AI security refuses to cooperate with that model.  A passing test is useful evidence, but only for a specific system, configuration, and moment.  Production AI keeps moving. Models change behavior, prompts are revised, retrieval sources are added, agents gain tools, and users introduce unexpected context. Attackers adapt just as quickly. Yesterday’s clean result may not describe tomorrow’s risk.  That has been the practical case for continuous AI red teaming. Now, research from the National Institute of Standards and Technology […]

The post AI Security Is Never Finished: Building the Continuous Red Teaming Loop  appeared first on Check Point Blog.

Walk into almost any executive leadership meeting right now and you’ll find the same dynamic playing out. The CEO is asking how the company can do more with AI, faster. Engineering teams are already three sprints deep into building something new. And when the CISO walks into the room, the energy subtly shifts. The unspoken question is always the same: is this person here to help us move, or to slow us down? That dynamic is an issue, and I think it’s one the security community has to own. The CISO has long carried the label of the “Office of […]

The post Redefining the CISO Contract: From Securing the Business to Securely Doing Business appeared first on Check Point Blog.